Products
Ophthalmology
The field of ophthalmology is dedicated to the comprehensive study and management of eye diseases and disorders. It encompasses a range of diagnostic techniques and treatments aimed at preserving and improving visual health. Accurate and timely diagnosis is crucial, as early intervention can significantly impact patient outcomes. HS Analysis GmbH’s innovative modules leverage advanced AI algorithms to analyze ocular images with high precision. These AI-driven tools enhance the detection of various eye conditions, such as retinal diseases, glaucoma, and macular degeneration, by improving image clarity, automating anomaly detection, and providing detailed insights that assist clinicians in making informed decisions.
Ophthal Tumor Classifier
The Module Ophthal Tumor Classifier uses pre-trained models to accurately detect and classify ocular tumors in medical images.
By leveraging advanced deep learning algorithms, this module distinguishes between tumor and non-tumor regions based on characteristics such as size, shape, and location.
It enables early detection and precise analysis, aiding ophthalmologists in making informed decisions for effective treatment.
The module’s high accuracy and precision in identifying tumor activity contribute to improved patient outcomes and a reduction in morbidity and mortality.
Neuro Keratopath
The Module Neuro Keratopathy uses pre-trained models to accurately segment and classify corneal nerve structures in patients with neurotrophic keratopathy (NK).
By leveraging deep learning, the module processes IVCM images to detect significant reductions in nerve density, changes in epithelial and endothelial cell densities, and increases in dendritic immune cells.
This advanced tool aids ophthalmologists in diagnosing NK early, assessing disease severity, and monitoring treatment response, providing crucial insights for better patient outcomes.
Neuropathology
Neuropathology focuses on understanding and diagnosing diseases that affect the nervous system, including the brain, spinal cord, and peripheral nerves. This field involves the examination of neural tissues to identify pathological changes associated with neurological disorders such as Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis. Accurate analysis of tissue samples is essential for effective diagnosis and treatment planning. HS Analysis GmbH offers sophisticated modules that utilize AI to enhance the analysis of neural tissue images. These AI-powered tools help in identifying subtle pathological features, improving diagnostic accuracy, and supporting cutting-edge research in neuropathology by providing deeper insights into the mechanisms of neurological diseases.
Nephropathology
Nephropathology is concerned with the study of kidney diseases and disorders, focusing on the pathology of renal tissues. Effective diagnosis and management of kidney-related conditions, such as glomerulonephritis, diabetic nephropathy, and kidney tumors, require detailed examination of tissue samples. HS Analysis GmbH provides specialized modules that harness AI to analyze kidney tissue images with precision. These modules aid in the detection and classification of renal abnormalities by enhancing image quality, automating diagnostic processes, and offering detailed analytical reports that support both clinical diagnostics and research in nephropathology.
Kidney Analysis
The “Kidney Analysis” Module is a powerful tool designed for precise kidney tissue analysis. Leveraging advanced pre-trained AI models, this module automatically identifies and segments key structures within whole slide kidney images, including Glomeruli and Tubuli. Ideal for research and diagnostics, it streamlines workflow, enhances accuracy, and provides valuable insights into kidney pathology with unparalleled efficiency.
Drug Development
Drug development is a complex and multi-stage process that involves the discovery, testing, and refinement of new medications. This process requires rigorous analysis and evaluation of various data types to ensure the efficacy and safety of drug candidates. While traditional methods often rely on imaging and biochemical assays, HS Analysis GmbH offers innovative modules that use Electronic Spectroscopy and Resonance (ESR) to analyze sound data. These modules provide valuable insights into the properties and behaviors of drug compounds, supporting the optimization of drug formulations and the evaluation of their performance throughout the development stages.
Vessel Detector
The Vessel Detector Module is a powerful tool that utilizes pretrained models to accurately segment blood vessels in images.
Beyond mere detection, this module further segments the vessels into tunica and lumen, providing detailed anatomical insights.
This precise segmentation is invaluable for a range of applications, including the study of vascular diseases, assessment of blood vessel integrity, and analysis of conditions such as atherosclerosis.
By offering detailed structural information, the Vessel Detector Module supports advanced research and clinical diagnostics, aiding in the development of targeted treatments and interventions.
gH2Ax Analyzer
The gH2Ax Analyzer module employs pre-trained AI models for segmentation, focusing on gH2Ax signals.
It processes these signals to generate comprehensive result tables, providing critical data for analyzing cellular responses to DNA damage.
This module supports precise therapy decisions and aids in the development of personalized treatment plans.
Lung Cancer Analysis
The Lung Cancer Analysis module utilizes pre-trained AI models for segmentation of Proximity Ligation Assay (PLA) signals in Non-Small Cell Lung Cancer (NSCLC). It processes these signals to generate detailed result tables, offering crucial insights into drug resistance. This enables more informed therapy decisions, particularly in tailoring personalized treatment strategies for lung cancer patients.
Membran Detection
The Membran Detection Module is a specialized tool for analyzing cell membranes in brightfield images using advanced pretrained models.
This module excels at detecting and identifying tumor and necrotic areas alongside the cell membranes. Additionally, it classifies cells based on their staining intensity, providing detailed insights into cellular characteristics.
The analysis culminates in the calculation of the H-Score, a crucial metric for evaluating staining patterns and intensities.
This module is indispensable for researchers and clinicians focused on cellular pathology and tumor analysis.
Dermatology
Dermatology focuses on the diagnosis and treatment of skin conditions and diseases, ranging from common issues like acne and eczema to more severe conditions such as skin cancer. Accurate diagnosis often involves the detailed examination of skin images to identify and assess various dermatological abnormalities. HS Analysis GmbH’s modules in dermatology utilize advanced AI to analyze skin images with high precision. These AI-driven tools assist in detecting and classifying skin conditions, enhancing the accuracy of diagnoses, and providing ongoing monitoring capabilities that support effective treatment planning and research into skin health.
CD11b Analyzer
The CD11b Analyzer Module is a specialized tool designed for detecting and analyzing cells stained with CD11b and DAPI in fluorescence images, particularly within large Whole Slide Images (WSIs).
This module performs precise image analysis to identify cells marked by the CD11b and DAPI stains, generating a comprehensive result table that includes the number and area of the detected cells.
This quantitative data is crucial for studies focusing on immune cell populations, such as macrophages and microglia, and their roles in various diseases, making the CD11b Analyzer an essential resource for immunological research and diagnostics.
ERG Analyzer
The module ERG Analyzer uses pre-trained models to segment and analyze ERG (endothelial cells) in multichannel fluorescence images, particularly within the context of skin cancer research.
By accurately identifying and quantifying ERG markers, this module provides critical insights into angiogenesis and tumor microenvironment interactions.
Integrated with the HSA KIT software, it facilitates standardized analysis, enabling quick and efficient processing of multiple medical images, ultimately aiding in the early detection, diagnosis, and treatment planning of conditions like melanoma.
This tool enhances the precision and productivity of research and clinical workflows.
Psoriasis Detection
The Psoriasis Detection Module is an advanced tool designed to analyze standard smartphone images for the presence of skin and psoriasis plaques using pretrained models.
This module not only detects plaques but also classifies them based on thickness, redness, and scaling using additional models.
The comprehensive analysis provided by this module enables the accurate calculation of the Psoriasis Area and Severity Index (PASI) Score, offering a valuable resource for both clinicians and patients to monitor and assess the severity of psoriasis.
HSA API
HS Analysis GmbH’s HSA KIT API is your ultimate solution for creating and managing ground truth data seamlessly. The API offers robust features including secure user authentication using JSON web tokens (JWT), comprehensive project management, efficient file handling, and real-time annotation updates. It integrates effortlessly into existing systems like Laboratory Information Systems (LIS) and Hospital Information Systems (HIS).
Colorectal Analysis
The Module Colorectal Analysis uses pre-trained models to accurately detect and classify colorectal cancer cells within medical images.
Leveraging advanced AI algorithms, this module identifies and categorizes different types of glands, distinguishing healthy tissues from adenoma and carcinoma glands.
Integrated within the HSA KIT software, it enables comprehensive data extraction, detailed reporting, and precise analysis, significantly aiding in the early detection and treatment of colorectal cancer, ultimately improving patient outcomes.
Annotator
The Annotator Module is a generic module, that can be used to create Structures similar to a tree to represent Features you want to later detect in images.
Then you can Annotate this Structures to create Ground Truth Data (GTD) that can then be used to train Models to later automatically do this annotations.
The training part can also be done inside this module.
Liver Analyzer
The module Liver Analyzer uses pre-trained models to segment liver tissue into two key structures: vessels and non-vessels.
By accurately identifying blood vessels and surrounding tissues within liver images, this module provides detailed insights into the liver’s vascular network and overall tissue composition.
This advanced segmentation tool is essential for analyzing liver health, diagnosing potential abnormalities, and supporting research efforts in hepatology.
Integrated within the HSA KIT software, it ensures precise, reproducible results, enhancing the quality of liver studies.
Heart Analyzer
The module Heart Analyzer uses pre-trained models to segment rat heart sections, specifically targeting cardiomyocytes in brightfield images.
By leveraging advanced deep learning techniques, this module accurately identifies and delineates cardiomyocyte structures, facilitating detailed analysis and enabling researchers to better understand heart tissue morphology and related conditions.
This tool is essential for conducting precise and efficient cardiac studies, supporting advancements in cardiovascular research and treatment.
CD3 – CD8 Analyzer
The CD3 – CD8 Analyzer Module is a specialized tool designed for the detection and analysis of CD3 and CD8 stained cells in fluorescence images, particularly within large Whole Slide Images (WSIs).
By performing image analysis on these massive datasets, the module accurately identifies cells stained with the corresponding markers and generates a detailed result table.
This table includes the count and area of the detected cells, providing essential quantitative data for immunological research and diagnostics.
This module is particularly valuable in studies of immune response and tumor microenvironments, where precise cell identification and quantification are critical.
ESR Training
The ESR Training module in HSA KIT allows researchers to create principal component analysis (PCA) models from known ESR spectra.
These models form a database for identifying and quantifying unknown substances in future samples.
By analyzing spectral patterns and correlating them with specific chemical properties, this module supports precise and reliable analysis, essential for material research, quality control, and compliance with industry standards.
ESR Evaluation
The ESR Evaluation module in HSA KIT is designed to assess unknown ESR spectra by comparing them with PCA models generated in the ESR Training module.
This process enables accurate identification and quantification of substances, with pass/fail indicators based on the degree of spectral match.
The module streamlines analysis, ensuring consistent, reliable results that support rigorous quality control and regulatory compliance across various industries.
